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C2H Urgent Role || Conversational AI Engineer || Fully Remote

Hybrid • Posted 16 hours ago • Updated 16 minutes ago

Full Time

Remote

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

Communication
IT Management
Innovation
Mentorship
Collaboration
User Experience
Amazon Web Services
Generative Artificial Intelligence (AI)
Python
Analytics
LangChain
Vector Databases
Semantic Search
Banking
Use Cases
Artificial Intelligence
Natural Language Processing
Named-Entity Recognition (NER)

Summary

Has to have amazon lex ,chatbots,llm..communication skill need to be excellent +or they will get killed in interview
Description

We are looking for a Senior Conversational AI Engineer to lead the design and development of advanced conversational AI solutions in the banking domain. This role involves technical leadership, mentoring other members of team, and driving innovation in multi-modal conversational experiences.

Responsibilities

- Lead the design and development of conversational AI solutions using Amazon Lex and other platforms.

- Build and optimize Generative AI chatbots leveraging LLMs for dynamic, context-aware interactions.

- Implement multi-modal AI solutions including voice and text-based interactions.

- Monitor, review and mentor other members of team, providing technical guidance and best practices.

- Collaborate with cross-functional teams including data scientists, UX designers, and product managers to deliver innovative conversational solutions.

- Stay current with emerging trends in conversational AI, generative AI, and multi-modal technologies.

Required Qualifications

- 5+ years of overall industry experience, with at least 3 years focused on conversational AI.

- Proven expertise in Amazon Lex and at least one other conversational AI platform.

- Hands-on experience building Generative AI chatbots using LLMs.

- Strong proficiency in Python and full-stack development principles.

- Experience implementing multi-modal AI (voice + text) and speech-to-text technologies.

- Familiarity with analytics tools for chatbot performance tracking.

Preferred Qualifications

- Experience with LangChain, RAG (Retrieval-Augmented Generation), or similar frameworks.

- Knowledge of vector databases (e.g., Pinecone, Weaviate) for semantic search.

- Exposure to banking domain use cases for conversational AI.

- Strong understanding of NLP concepts, intent recognition, and entity extraction

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91121021
Position Id: 2026-43475
Posted 16 hours ago

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